NANO-CHECK DAT 5 MULTI DRUG SCREENING TEST FOR CANNABINOIDS, OPIATES, COCAINE, METHAMPHETAMINE & PHENCYCLIDINE
Applicant
Nano-Ditech Co.
Product Code
LDJ · Clinical Toxicology
Decision Date
May 15, 2005
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.3870
Device Class
Class 2
Indications for Use
The Nano-Check™ DAT 5 Multi Drug Screening Test for Marijuana, Opiates, Cocaine, Methamphetamine and Phencyclidine is a rapid, self-controlled immunoassay for the qualitative detection of Cannabinoids (THC), Opiates (OPI), Benzoylecgonine (COC), Methamphetamine (mAMP) and Phencyclidine (PCP) compounds and their metabolites in human urine. The detection limits (cut-off concentrations) of this test are as follows: Cannabinoids at 50 ng/ml, Opiates at 2000 ng/ml, Cocaine at 300 ng/ml, Methamphetamine at 1000 ng/ml and Phencyclidine at 25 ng/ml. This assay is intended for Professional and Laboratory In-Vitro Use Only.
Device Story
Single-use cassette-based lateral flow immunoassay; detects Cannabinoids, Opiates, Cocaine, Methamphetamine, and Phencyclidine in human urine. Operator adds urine sample to cassette well; sample migrates through test strip via capillary action. Competitive binding mechanism: drug in sample competes with drug-labeled conjugate for antibody binding sites. Absence of line at test area indicates positive result; presence of line indicates negative result. Internal process control confirms adequate sample volume and strip integrity. Visually read by professional/laboratory personnel. Provides preliminary analytical results; requires confirmatory testing (e.g., GC/MS) for clinical decision-making. Benefits include rapid screening for drugs of abuse in professional settings.
Clinical Evidence
No clinical data. Substantial equivalence supported by analytical performance studies including precision/reproducibility, detection limits, analytical specificity, and method comparison studies against predicate devices.
Technological Characteristics
Lateral-flow immunochromatographic assay; competitive binding principle. Membrane strip with immobilized antibodies/drug-conjugates; gold colloidal particle indicator. Single-use plastic cassette housing. Sample application via disposable dropper. Qualitative visual readout. No electronic components or software.
Indications for Use
Indicated for professional/laboratory in-vitro qualitative detection of Cannabinoids (THC), Opiates (OPI), Benzoylecgonine (COC), Methamphetamine (mAMP), and Phencyclidine (PCP) and their metabolites in human urine. Cut-offs: THC 50ng/ml, OPI 2000ng/ml, COC 300ng/ml, mAMP 1000ng/ml, PCP 25ng/ml.
Regulatory Classification
Identification
A cannabinoid test system is a device intended to measure any of the cannabinoids, hallucinogenic compounds endogenous to marihuana, in serum, plasma, saliva, and urine. Cannabinoid compounds include delta-9-tetrahydrocannabinol, cannabidiol, cannabinol, and cannabichromene. Measurements obtained by this device are used in the diagnosis and treatment of cannabinoid use or abuse and in monitoring levels of cannabinoids during clinical investigational use.
Special Controls
*Classification.* Class II (special controls). A cannabinoid test system is not exempt if it is intended for any use other than employment or insurance testing or is intended for Federal drug testing programs. The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9, provided the test system is intended for employment and insurance testing and includes a statement in the labeling that the device is intended solely for use in employment and insurance testing, and does not include devices intended for Federal drug testing programs (*e.g.,* programs run by the Substance Abuse and Mental Health Services Administration (SAMHSA), the Department of Transportation (DOT), and the U.S. military).
Predicate Devices
ACON THC One Step Marijuana Test Strip (k003557)
ACON OPI One Step Opiates Test Strip (k040274)
ACON COC One Step Cocaine Test Strip (k010841)
ACON mAMP One Step Methamphetamine Test Strip (k011672)
ACON PCP One Step Phencyclidine Test Strip (k011730)
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
DEVICE ONLY TEMPLATE
A. 510(k) Number:
k050594
B. Purpose for Submission:
New Device
C. Measurands:
Cannabinoids, Opiates, Cocaine, Methamphetamine, and Phencyclidine
D. Type of Test:
Qualitative immunoassay
E. Applicant:
Nano-Ditech Corporation
F. Proprietary and Established Names:
In vitro Nano-Check™ DAT 5 Multi Drug Screening Test
THC/OPI/COC/mAMP/PCP
G. Regulatory Information:
Regulation section:
| Regulation Number | Standard Product Nomenclature | Panel | Product Code | Class |
| --- | --- | --- | --- | --- |
| 862.3870 | Enzyme Immunoassay Cannabinoids | Toxicology (91) | LDJ | II |
| 862.3250 | Enzyme Immunoassay, Cocaine and Cocaine Metabolites | Toxicology (91) | DIO | II |
| 862.3610 | Thin Layer Chromatography, Methamphetamine | Toxicology (91) | DJC | II |
| 862.3650 | Enzyme Immunoassay, Opiates | Toxicology (91) | DJG | II |
| Unclassified | Enzyme Immunoassay, Phencyclidine | Toxicology (91) | LCM | |
H. Intended Use:
1. Intended use(s):
Refer to Indications for use.
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2. **Indication(s) for use:**
The Nano-Check™ DAT 5 Multi Drug Screening Test for Marijuana, Opiates, Cocaine, Methamphetamine and Phencyclidine is a rapid, self-controlled immunoassay for the qualitative detection of Cannabinoids (THC), Opiates (OPI), Benzoylecgonine (COC), Methamphetamine (mAMP) and Phencyclidine (PCP) compounds and their metabolites in human urine. The detection limits (cut-off concentrations of this test are as follows: Cannabinoids at 50 ng/ml, Opiates at 2000 ng/ml, Cocaine at 300 ng/ml, Methamphetamine at 1000 ng/ml and Phencyclidine at 25 ng/ml). This assay is intended for Professional and Laboratory In-Vitro Use Only.
3. **Special condition for use statement(s):**
The Nano-Check™ DAT 5 Multi Drug Screening Test provides only a preliminary analytical test result. A more specific alternative chemical method must be used to obtain a confirmed analytical result. Gas chromatography/Mass spectrometry is the preferred confirmatory method. Other chemical confirmation methods are available. Clinical consideration and professional judgment should be applied to any drug of abuse test result, particularly when preliminary positive results are used.
The assay is not designated for use in point-of-care settings.
Tests for opiates cannot distinguish between abused drugs and certain prescribed medications.
Certain foods or medications may interfere with tests for amphetamines and opiates and cause false positive results.
4. **Special instrument Requirements:**
Not applicable. The device is a visually read single-use device.
**I. Device Description:**
The product is a single-use device in a cassette format. Operators add several drops of the sample to the sample well. The test reaction is initiated by movement of the sample through the test strip.
**J. Substantial Equivalence Information:**
1. **Predicate device name(s):**
ACON THC One Step Marijuana Test Strip
ACON OPI One Step Opiates Test Strip
ACON COC One Step Cocaine Test Strip
ACON mAMP One Step Methamphetamine Test Strip
ACON PCP One Step Phencyclidine Test Strip
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2. Predicate K number(s):
k003557
k040274
k010841
k011672
k011730
3. Comparison with predicate:
Both devices are for the qualitative determination of the same analytes in the same matrix, and utilize the same cutoff concentration. Both are visually-read single use devices.
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate Devices |
| Test Principle | Same | Immunochromatographic, lateral flow, competitive assay |
| Type of test | Same | Qualitative |
| Assay time | Same | 5-10 minutes |
| Matrix | Same | Human urine |
| Indications for use | Same | Prescription use |
| Cutoffs | Same | THC: 50 ng/mL
OPI: 2000 ng/mL
COC: 300 ng/mL
mAMP: 1000 ng/mL
PCP: 25 ng/mL |
| Differences | | |
| Item | Device | Predicate |
| Number of assays per device | 5 | 1 |
| Format | Cassette; user adds urine with dropper provided | Dipstick; user immerses strip in urine sample |
K. Standard/Guidance Document Referenced (if applicable):
The sponsor referenced the following guidance document(s) in their submission:
Premarket Submission and Labeling Recommendations for Drugs of Abuse Screening Tests - Draft Guidance for Industry and FDA Staff, published December 2003
Guidance for Prescription Use Drugs of Abuse Assays Premarket Notifications, published November 2000.
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L. Test Principle:
The test employs lateral flow immunochromatographic technology.
Drug in the sample and drug-labeled conjugate (containing a chromagen) compete for antibody binding sites in the test area of the test strip. Binding of drug in the sample causes the absence of a line at the test area, i.e., a positive result. When drug is not present in the sample, the drug-labeled conjugate binds at the test line, resulting in formation of a line, i.e., a negative result. The absence or presence of the line is determined visually by the operator.
The device also has an internal process control which indicates that an adequate volume of sample has been added and that the immunochromatographic strip is intact.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Drug free samples were spiked with the five drugs to achieve the concentration of either -50% cutoff or +50% cutoff levels. Ten samples, each containing a different set of concentration combinations for the 5 drugs and blind -labeled samples, were tested on duplicated devices by three operators. All tests that applied the +50% cutoff urine sample were detected positive by all three operators, and all tests of -50% cutoff urine samples were detected negative by all three operators. Results of study presented below.
| Drug | Conc. | Result Expected | No. of device tested | No. of device of expected result | | | agreement |
| --- | --- | --- | --- | --- | --- | --- | --- |
| THC
c/o 50 | -50% cutoff | neg | 10 | 10 | 10 | 10 | 100% |
| | +50% cutoff | pos | 10 | 10 | 10 | 10 | 100% |
| OPI
c/o 2000 | -50% cutoff | neg | 10 | 10 | 10 | 10 | 100% |
| | +50% cutoff | pos | 10 | 10 | 10 | 10 | 100% |
| COC
c/o 300 | -50% cutoff | neg | 10 | 10 | 10 | 10 | 100% |
| | +50% cutoff | pos | 10 | 10 | 10 | 10 | 100% |
| mAMP
c/o1000 | -50% cutoff | neg | 10 | 10 | 10 | 10 | 100% |
| | +50% cutoff | pos | 10 | 10 | 10 | 10 | 100% |
| PCP
c/o 25 | -50% cutoff | neg | 10 | 10 | 10 | 10 | 100% |
| | +50% cutoff | pos | 10 | 10 | 10 | 10 | 100% |
| Total agreement | | | | | | | 100% |
b. Linearity/assay reportable range:
Not applicable. The assay is intended for qualitative use.
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c. Traceability (controls, calibrators, or method):
Control materials are required but are not specifically identified in the labeling.
The device has an internal process control. Users are instructed to follow federal, state, and local guidelines when determining when to run external controls.
Stability studies are summarized for the controls. The sponsor specifies the concentrations of materials evaluated in the studies, the frequency of testing, the method for testing the materials, environmental conditions of storage, and acceptance criteria for the study. Accelerated studies are being used by the sponsor to estimate the expiration date; however, on-going real time studies are being performed.
d. Detection limit:
Sensitivity of this assay is characterized by validating performance around the claimed cutoff concentration of the assay, including a determination of the lowest concentration of drug that is capable of producing a positive result.
This information appears in the table below.
| Compound Name | Cut off level |
| --- | --- |
| 11-Nor-Δ⁹-Tetrahydrocannabinol carboxylic acid (THC) | 50 ng/ml |
| Morphine (OPI) | 2000 ng/ml |
| Benzoylecogonine (COC) | 300 ng/ml |
| D-Methamphetamine (mAMP) | 1000 ng/ml |
| Phencyclidine (PCP) | 25 ng/ml |
Cut off Validation Study
| Drug | Level ng/ml | Negative | Positive | Coincidence (%) |
| --- | --- | --- | --- | --- |
| THC | 0 | 25 | 0 | 100 |
| | 25 | 25 | 0 | 100 |
| | 37.3 | 20 | 5 | 80 |
| | 50 | 15 | 10 | N/A |
| | 62.5 | 1 | 24 | 96 |
| | 75 | 0 | 25 | 100 |
| | | | | |
| OPI | 0 | 25 | 0 | 100 |
| | 1000 | 25 | 0 | 100 |
| | 1500 | 23 | 2 | 92 |
| | 2000 | 10 | 15 | N/A |
| | 2500 | 4 | 21 | 84 |
| | 3000 | 0 | 25 | 100 |
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| Drug | Level ng/ml | Negative | Positive | Coincidence (%) |
| --- | --- | --- | --- | --- |
| COC (Benzoylecgonine) | 0 | 25 | 0 | 100 |
| | 150 | 25 | 0 | 100 |
| | 225 | 21 | 4 | 84 |
| | 300 | 11 | 14 | N/A |
| | 375 | 1 | 24 | 96 |
| | 450 | 0 | 25 | 100 |
| | | | | |
| Methamphetamine | 0 | 25 | 0 | 100 |
| | 500 | 25 | 0 | 100 |
| | 750 | 25 | 0 | 100 |
| | 1000 | 14 | 11 | N/A |
| | 1250 | 3 | 22 | 88 |
| | 1500 | 0 | 25 | 100 |
| | | | | |
| PCP | 0 | 25 | 0 | 100 |
| | 12.5 | 25 | 0 | 100 |
| | 18.5 | 20 | 5 | 80 |
| | 25 | 10 | 15 | N/A |
| | 31.5 | 1 | 24 | 96 |
| | 37.5 | 0 | 25 | 100 |
# e. Analytical specificity:
Cross-reactivity was established by spiking various concentrations of similarly structured drug compounds into drug-free urine /a negative control. By analyzing various concentration of each compound the sponsor determined the concentration of the drug that produced a response approximately equivalent to the cutoff concentration of the assay. Results of those studies appear in the table(s) below:
Methamphetamine
| Drug Compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| d-Amphetamine | >100,000 |
| l-Amphetamine | >100,000 |
| d-Methamphetamine | 1,000 |
| dl-Amphetamine | >100,000 |
| (±) Ephedrine | >100,000 |
| (-) Ephedrine | >100,000 |
| d,l 3,4-Methylenedioxymethamphetamine (MDMA) | 1,000 |
| 3,4-Methylenedioxyamphetamine (MDA) | >100,000 |
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## Opiates
| Drug compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| Codeine | 1,000 |
| Hydrocodone | 1,000 |
| Hydromorphone | 2,500 |
| Oxycodone | 25,000 |
| Morphine | 2,000 |
| Morphine-3-β-glucuronide | 25,000 |
| Nalorphine | 750 |
| Procaine HCL | >100,000 |
| Oxymorphone | >100,000 |
| Ofloxacin | >100,000 |
| Thebaine | 100,000 |
| 6-Acetylmorphine | 1,000 |
## Cocaine
| Compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| Benzoylecogonine | 300 |
| Ecgonine | 25,000 |
| Cocaine HCL | 250 |
## Cannabinoids (THC)
| Compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| 11-Hydroxy-Δ⁹-Tetrahydrocannabinol | 50 |
| 11-Nor-Δ⁸-Tetrahydrocannabinol carboxylic acid | 75 |
| 11-Nor-Δ⁹-Tetrahydrocannabinol carboxylic acid | >100,000 |
| Δ⁸-Tetrahydrocannabinol | >100,000 |
| Δ⁹-Tetrahydrocannabinol | > 10,000 |
| Cannabinol | >100,000 |
## Phencyclidine
| Compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| 4-hydroxyphencyclidine | 25 |
| Ibuprofen | >100,000 |
| Thienylcyclohexylpiperidine (TCP) | 4,000 |
| Hydromorphone | 50,000 |
There is the possibility that other substances and/or factors not listed above may interfere with the test and cause false results, e.g., technical or procedural errors.
## f. Assay cut-off:
Characterization of how the device performs analytically around the claimed cutoff concentration appears in the precision section, above.
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2. Comparison studies:
a. Method comparison with predicate device:
Because the candidate device was compared to a reference method, GC/MS, it was not compared to a predicate device. According to the sponsor accuracy was determined by taking clinical samples containing THC/ Cannabinoids, Morphine, Benzoylecgonine, Methamphetamine and /or Phencyclidine, confirmed by GC/MS and then analyzed using the Nano-Check™ DAT 5M THC/OPI/COC/mAMP/PCP test panel. The results are shown below.
| | GC/MS | | |
| --- | --- | --- | --- |
| | | Positive | Negative |
| Nano-Check™ DAT 5M THC | Positive | 80 | 5 |
| | Negative | 3 | 262 |
| | Total | 83 | 267 |
| | Agreement | 96.4% | 98.1% |
| | Total agreement | 97.7% | |
| Nano-Check™ DAT 5M OPI | Positive | 82 | 1 |
| | Negative | 3 | 264 |
| | Total | 85 | 265 |
| | Agreement | 96.5% | 99.6% |
| | Total agreement | 98.9% | |
| Nano-Check™ DAT 5M COC | Positive | 86 | 4 |
| | Negative | 1 | 259 |
| | Total | 87 | 263 |
| | Agreement | 98.9% | 98.5% |
| | Total agreement | 98.6% | |
| Nano-Check™ DAT 5M mAMP | Positive | 76 | 2 |
| | Negative | 2 | 270 |
| | Total | 78 | 272 |
| | Agreement | 97.4% | 99.3% |
| | Total agreement | 98.9% | |
| Nano-Check™ DAT 5M PCP | Positive | 50 | 1 |
| | Negative | 1 | 298 |
| | Total | 51 | 299 |
| | Agreement | 98.0% | 99.7% |
| | Total agreement | 99.4% | |
b. Matrix comparison:
Not applicable. The assay is intended for only one sample matrix.
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3. Clinical studies:
a. Clinical sensitivity:
Not applicable. Clinical studies are not typically submitted for this device type.
b. Clinical specificity:
Not applicable. Clinical studies are not typically submitted for this device type.
c. Other clinical supportive data (when a and b are not applicable):
4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range:
Not applicable.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
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Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
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Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
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What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
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Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.